应用能量色散X射线荧光光谱法对铂首饰镍含量(范围0.2％～10％)进行无损检测,利用沈阳冶炼厂制作的国家标准物质、Johnson Mattey Public Limited Company的标样以及我们自行研制的工作标样建立工作曲线,采用Lucas-Tooth和Price强度修...应用能量色散X射线荧光光谱法对铂首饰镍含量(范围0.2％～10％)进行无损检测,利用沈阳冶炼厂制作的国家标准物质、Johnson Mattey Public Limited Company的标样以及我们自行研制的工作标样建立工作曲线,采用Lucas-Tooth和Price强度修正模式,有效消除可能的元素干扰,降低背景干扰提高方法分析精度。对样品的检测结果与其它方法结果比较,证明方法可行。展开更多
Current health monitoring systems often do not concern about the needs of the elderly,leading to inaccurate health status monitoring and delayed treatment for emergency health conditions.Similarly,they do not consider...Current health monitoring systems often do not concern about the needs of the elderly,leading to inaccurate health status monitoring and delayed treatment for emergency health conditions.Similarly,they do not consider the variable factors affecting each patient,resulting in discrepancies between the measured values and real health status.To solve the problems,we propose a new health monitoring system with physiological parameter measurement,correction,and feedback.The study collects clinical samples of the elderly to formulate regression equations and statistical models for analyzing the relationship between gender,age,measurement time,and physical signs.After multiple adjustments to measurements of physical signs,the correction algorithm compares the data with a standard value.The process significantly reduces the risk of misjudgment while matching users’health status more accurately.The application case of this paper proves the validity of the method for measuring and correcting heart rate results in the elderly and presents a specific correction procedure.Additionally,the correction algorithm provides a scientific basis for eliminating or modifying other influencing factors in future health monitoring studies.展开更多
文摘应用能量色散X射线荧光光谱法对铂首饰镍含量(范围0.2％～10％)进行无损检测,利用沈阳冶炼厂制作的国家标准物质、Johnson Mattey Public Limited Company的标样以及我们自行研制的工作标样建立工作曲线,采用Lucas-Tooth和Price强度修正模式,有效消除可能的元素干扰,降低背景干扰提高方法分析精度。对样品的检测结果与其它方法结果比较,证明方法可行。
基金This work was supported by the National Natural Science Foundation of China(No.51804014).
文摘Current health monitoring systems often do not concern about the needs of the elderly,leading to inaccurate health status monitoring and delayed treatment for emergency health conditions.Similarly,they do not consider the variable factors affecting each patient,resulting in discrepancies between the measured values and real health status.To solve the problems,we propose a new health monitoring system with physiological parameter measurement,correction,and feedback.The study collects clinical samples of the elderly to formulate regression equations and statistical models for analyzing the relationship between gender,age,measurement time,and physical signs.After multiple adjustments to measurements of physical signs,the correction algorithm compares the data with a standard value.The process significantly reduces the risk of misjudgment while matching users’health status more accurately.The application case of this paper proves the validity of the method for measuring and correcting heart rate results in the elderly and presents a specific correction procedure.Additionally,the correction algorithm provides a scientific basis for eliminating or modifying other influencing factors in future health monitoring studies.
